{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "1ea5a8c3",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import torch\n",
    "from torch import nn\n",
    "from torch import optim\n",
    "from sklearn.preprocessing import MinMaxScaler"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1f94f63",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### 获取数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "b0a40b10",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "new_data = pd.read_csv('new_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "731a0bd4",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "new_data = new_data.drop(['Unnamed: 0', 'light', 'wind_speed', 'wind_direction_angle', 'weather_status', 'precipitation'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "91bdcffe",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 75552 entries, 0 to 75551\n",
      "Data columns (total 9 columns):\n",
      " #   Column       Non-Null Count  Dtype  \n",
      "---  ------       --------------  -----  \n",
      " 0   value        75552 non-null  float64\n",
      " 1   temperature  75552 non-null  float64\n",
      " 2   humidity     75552 non-null  float64\n",
      " 3   pressure     75552 non-null  float64\n",
      " 4   visibility   75552 non-null  float64\n",
      " 5   holiday      75552 non-null  float64\n",
      " 6   minute       75552 non-null  float64\n",
      " 7   week         75552 non-null  float64\n",
      " 8   year         75552 non-null  float64\n",
      "dtypes: float64(9)\n",
      "memory usage: 5.2 MB\n"
     ]
    }
   ],
   "source": [
    "new_data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "d9edfa9c",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "new_data = new_data.astype(np.float32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "d7cfbf45",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 75552 entries, 0 to 75551\n",
      "Data columns (total 9 columns):\n",
      " #   Column       Non-Null Count  Dtype  \n",
      "---  ------       --------------  -----  \n",
      " 0   value        75552 non-null  float32\n",
      " 1   temperature  75552 non-null  float32\n",
      " 2   humidity     75552 non-null  float32\n",
      " 3   pressure     75552 non-null  float32\n",
      " 4   visibility   75552 non-null  float32\n",
      " 5   holiday      75552 non-null  float32\n",
      " 6   minute       75552 non-null  float32\n",
      " 7   week         75552 non-null  float32\n",
      " 8   year         75552 non-null  float32\n",
      "dtypes: float32(9)\n",
      "memory usage: 2.6 MB\n"
     ]
    }
   ],
   "source": [
    "new_data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "168abb71",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "2021年、2022年、2023年年初电力负荷均出现了明显的先下降后上升过程，但原因不明，需要和电力公司沟通，了解原因。因此在模型训练和测试时选择将这段时间的数据忽略。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94fa904c",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "删去2021-1-21到2021-2-6，2022-2-9到2022-2-24，2023-1-26到2023-2-13的数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "9d371b33",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "drop_index = [i for i in range(1920, 3552)] + [i for i in range(38784, 40320)] + [i for i in range(72480, 74304)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "2e93663d",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "new_data = new_data.drop(drop_index, axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "a35a38ca",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 70560 entries, 0 to 75551\n",
      "Data columns (total 9 columns):\n",
      " #   Column       Non-Null Count  Dtype  \n",
      "---  ------       --------------  -----  \n",
      " 0   value        70560 non-null  float32\n",
      " 1   temperature  70560 non-null  float32\n",
      " 2   humidity     70560 non-null  float32\n",
      " 3   pressure     70560 non-null  float32\n",
      " 4   visibility   70560 non-null  float32\n",
      " 5   holiday      70560 non-null  float32\n",
      " 6   minute       70560 non-null  float32\n",
      " 7   week         70560 non-null  float32\n",
      " 8   year         70560 non-null  float32\n",
      "dtypes: float32(9)\n",
      "memory usage: 3.0 MB\n"
     ]
    }
   ],
   "source": [
    "new_data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "405f60bf",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "划分训练集和测试集。2021年、2022年前11个月和2023年的数据作为训练集，2022年12月的数据作为测试集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "c1e10150",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "train1 = new_data.loc[:1919]\n",
    "train2 = new_data.loc[3552:38783]\n",
    "train3 = new_data.loc[40320:67103]\n",
    "train4 = new_data.loc[70080:72479]\n",
    "train5 = new_data.loc[74304:]\n",
    "test = new_data.loc[67104:70079]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "3d404be9",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "train = pd.concat([new_data.loc[:67103], new_data.loc[70080:]], axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "c1a4883d",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "67584\n",
      "2976\n"
     ]
    }
   ],
   "source": [
    "print(len(train))\n",
    "print(len(test))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c19029c",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "对训练集数据归一化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "22e15b29",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "scaler = MinMaxScaler()\n",
    "scaler = scaler.fit(train)  # fit，在这里本质是生成min(x)和max(x)\n",
    "train_result1 = scaler.transform(train1)  # 结果为ndarray类型\n",
    "train_result2 = scaler.transform(train2)\n",
    "train_result3 = scaler.transform(train3)\n",
    "train_result4 = scaler.transform(train4)\n",
    "train_result5 = scaler.transform(train5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "73fa08a6",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-2 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: #000;\n",
       "  --sklearn-color-text-muted: #666;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-2 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-2 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-2 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-2 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-2 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: flex;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "  align-items: start;\n",
       "  justify-content: space-between;\n",
       "  gap: 0.5em;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 label.sk-toggleable__label .caption {\n",
       "  font-size: 0.6rem;\n",
       "  font-weight: lighter;\n",
       "  color: var(--sklearn-color-text-muted);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-2 div.sk-toggleable__content {\n",
       "  display: none;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  overflow: visible;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-2 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-2 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-2 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-2 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-2 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 0.5em;\n",
       "  text-align: center;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-2 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-2 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-2 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".estimator-table summary {\n",
       "    padding: .5rem;\n",
       "    font-family: monospace;\n",
       "    cursor: pointer;\n",
       "}\n",
       "\n",
       ".estimator-table details[open] {\n",
       "    padding-left: 0.1rem;\n",
       "    padding-right: 0.1rem;\n",
       "    padding-bottom: 0.3rem;\n",
       "}\n",
       "\n",
       ".estimator-table .parameters-table {\n",
       "    margin-left: auto !important;\n",
       "    margin-right: auto !important;\n",
       "}\n",
       "\n",
       ".estimator-table .parameters-table tr:nth-child(odd) {\n",
       "    background-color: #fff;\n",
       "}\n",
       "\n",
       ".estimator-table .parameters-table tr:nth-child(even) {\n",
       "    background-color: #f6f6f6;\n",
       "}\n",
       "\n",
       ".estimator-table .parameters-table tr:hover {\n",
       "    background-color: #e0e0e0;\n",
       "}\n",
       "\n",
       ".estimator-table table td {\n",
       "    border: 1px solid rgba(106, 105, 104, 0.232);\n",
       "}\n",
       "\n",
       ".user-set td {\n",
       "    color:rgb(255, 94, 0);\n",
       "    text-align: left;\n",
       "}\n",
       "\n",
       ".user-set td.value pre {\n",
       "    color:rgb(255, 94, 0) !important;\n",
       "    background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".default td {\n",
       "    color: black;\n",
       "    text-align: left;\n",
       "}\n",
       "\n",
       ".user-set td i,\n",
       ".default td i {\n",
       "    color: black;\n",
       "}\n",
       "\n",
       ".copy-paste-icon {\n",
       "    background-image: url();\n",
       "    background-repeat: no-repeat;\n",
       "    background-size: 14px 14px;\n",
       "    background-position: 0;\n",
       "    display: inline-block;\n",
       "    width: 14px;\n",
       "    height: 14px;\n",
       "    cursor: pointer;\n",
       "}\n",
       "</style><body><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>MinMaxScaler()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>MinMaxScaler</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.7/modules/generated/sklearn.preprocessing.MinMaxScaler.html\">?<span>Documentation for MinMaxScaler</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\" data-param-prefix=\"\">\n",
       "        <div class=\"estimator-table\">\n",
       "            <details>\n",
       "                <summary>Parameters</summary>\n",
       "                <table class=\"parameters-table\">\n",
       "                  <tbody>\n",
       "                    \n",
       "        <tr class=\"default\">\n",
       "            <td><i class=\"copy-paste-icon\"\n",
       "                 onclick=\"copyToClipboard('feature_range',\n",
       "                          this.parentElement.nextElementSibling)\"\n",
       "            ></i></td>\n",
       "            <td class=\"param\">feature_range&nbsp;</td>\n",
       "            <td class=\"value\">(0, ...)</td>\n",
       "        </tr>\n",
       "    \n",
       "\n",
       "        <tr class=\"default\">\n",
       "            <td><i class=\"copy-paste-icon\"\n",
       "                 onclick=\"copyToClipboard('copy',\n",
       "                          this.parentElement.nextElementSibling)\"\n",
       "            ></i></td>\n",
       "            <td class=\"param\">copy&nbsp;</td>\n",
       "            <td class=\"value\">True</td>\n",
       "        </tr>\n",
       "    \n",
       "\n",
       "        <tr class=\"default\">\n",
       "            <td><i class=\"copy-paste-icon\"\n",
       "                 onclick=\"copyToClipboard('clip',\n",
       "                          this.parentElement.nextElementSibling)\"\n",
       "            ></i></td>\n",
       "            <td class=\"param\">clip&nbsp;</td>\n",
       "            <td class=\"value\">False</td>\n",
       "        </tr>\n",
       "    \n",
       "                  </tbody>\n",
       "                </table>\n",
       "            </details>\n",
       "        </div>\n",
       "    </div></div></div></div></div><script>function copyToClipboard(text, element) {\n",
       "    // Get the parameter prefix from the closest toggleable content\n",
       "    const toggleableContent = element.closest('.sk-toggleable__content');\n",
       "    const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
       "    const fullParamName = paramPrefix ? `${paramPrefix}${text}` : text;\n",
       "\n",
       "    const originalStyle = element.style;\n",
       "    const computedStyle = window.getComputedStyle(element);\n",
       "    const originalWidth = computedStyle.width;\n",
       "    const originalHTML = element.innerHTML.replace('Copied!', '');\n",
       "\n",
       "    navigator.clipboard.writeText(fullParamName)\n",
       "        .then(() => {\n",
       "            element.style.width = originalWidth;\n",
       "            element.style.color = 'green';\n",
       "            element.innerHTML = \"Copied!\";\n",
       "\n",
       "            setTimeout(() => {\n",
       "                element.innerHTML = originalHTML;\n",
       "                element.style = originalStyle;\n",
       "            }, 2000);\n",
       "        })\n",
       "        .catch(err => {\n",
       "            console.error('Failed to copy:', err);\n",
       "            element.style.color = 'red';\n",
       "            element.innerHTML = \"Failed!\";\n",
       "            setTimeout(() => {\n",
       "                element.innerHTML = originalHTML;\n",
       "                element.style = originalStyle;\n",
       "            }, 2000);\n",
       "        });\n",
       "    return false;\n",
       "}\n",
       "\n",
       "document.querySelectorAll('.fa-regular.fa-copy').forEach(function(element) {\n",
       "    const toggleableContent = element.closest('.sk-toggleable__content');\n",
       "    const paramPrefix = toggleableContent ? toggleableContent.dataset.paramPrefix : '';\n",
       "    const paramName = element.parentElement.nextElementSibling.textContent.trim();\n",
       "    const fullParamName = paramPrefix ? `${paramPrefix}${paramName}` : paramName;\n",
       "\n",
       "    element.setAttribute('title', fullParamName);\n",
       "});\n",
       "</script></body>"
      ],
      "text/plain": [
       "MinMaxScaler()"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scaler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "46c78f62",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1920, 9)"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_result1.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "ac27986a",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(35232, 9)"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_result2.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "b287ba56",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(26784, 9)"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_result3.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "4adda32d",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2400, 9)"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_result4.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "830e5289",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1248, 9)"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_result5.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aed7a6a6",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "生成训练数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "5a5be234",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "#  将预测时刻的气象数据也作为输入，为了保证输入序列的特征数一致，将预测时刻输入的负荷设为1\n",
    "#  可以做个比较，有预测时刻的气象信息与没有预测时刻的气象信息。感觉有预测时刻的气象信息作为输入，模型预测准确性会受到天气预报准确性的影响。\n",
    "#  生成的样本起始时刻依次相差15分钟\n",
    "def create_inout_sequences(input_data, tw):\n",
    "    inout_seq = []\n",
    "    L = len(input_data)\n",
    "    for i in range(L-tw+1):\n",
    "        m = input_data[i:i+tw-96].reshape(-1)\n",
    "        n = input_data[i+tw-96:i+tw, 1:].reshape(-1)\n",
    "        seq = np.concatenate((m, n), axis=0)\n",
    "        label = input_data[i+tw-96:i+tw, 0]\n",
    "        inout_seq.append((torch.tensor(seq) ,torch.tensor(label)))\n",
    "    return inout_seq"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "e863b4cc",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1632"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "96*9+96*8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "ec72edc3",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "train_seq1 = create_inout_sequences(train_result1, 192)\n",
    "train_seq2 = create_inout_sequences(train_result2, 192)\n",
    "train_seq3 = create_inout_sequences(train_result3, 192)\n",
    "train_seq4 = create_inout_sequences(train_result4, 192)\n",
    "train_seq5 = create_inout_sequences(train_result5, 192)\n",
    "train_seq = train_seq1 + train_seq2 + train_seq3 + train_seq4 + train_seq5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "0909868b",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "66629"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(train_seq)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3701bb76",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "生成测试数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "0c407d70",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "test_result = scaler.transform(test)\n",
    "test_seq = create_inout_sequences(test_result, 192)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "1011c234",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2785"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(test_seq)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "578e333e",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "训练样本的数量为66629，每个训练样本包括特征和标签，其中特征为前96个时刻数据（包括负荷值和特征）和后96个时刻的气象数据，标签为后96个时刻的负荷值。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "65529538",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "使用前24小时和未来24小时的数据预测未来24小时的负荷"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "239a7fee",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "设置批量大小为128"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "4e2bac91",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "trainloader = torch.utils.data.DataLoader(train_seq, batch_size=128, shuffle=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "cab7339b",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "521"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(trainloader)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "9513c86f",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([128, 1632])\n",
      "torch.Size([128, 96])\n"
     ]
    }
   ],
   "source": [
    "for i ,j in trainloader:\n",
    "    print(i.shape)\n",
    "    print(j.shape)\n",
    "    break"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea4558a2",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### 建立全连接神经网络模型并训练"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "d30bb919",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "class FCNN(nn.Module):\n",
    "    def __init__(self):\n",
    "        super().__init__()\n",
    "        self.layers = nn.Sequential(\n",
    "            nn.Linear(1632, 1000),\n",
    "            nn.LeakyReLU(),\n",
    "            nn.Linear(1000, 96)\n",
    "        )\n",
    "        \n",
    "        \n",
    "    def forward(self, x):\n",
    "        y = self.layers(x)\n",
    "        return y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "72fa3432",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "fcnn = FCNN()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "767fc975",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "lr = 0.00001\n",
    "opt = optim.Adam(fcnn.parameters(), lr=lr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "cdf10e65",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "loss_function = nn.MSELoss()  # 方差/平均平方误差"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "fff9f432",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "loss_list = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "45e5bfb9",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor(0.2592)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor(0.1952)\n",
      "tensor(0.1447)\n",
      "tensor(0.1073)\n",
      "tensor(0.0755)\n",
      "tensor(0.0501)\n",
      "tensor(0.0390)\n",
      "tensor(0.0330)\n",
      "tensor(0.0332)\n",
      "tensor(0.0279)\n",
      "tensor(0.0296)\n",
      "tensor(0.0268)\n",
      "tensor(0.0244)\n",
      "tensor(0.0263)\n",
      "tensor(0.0246)\n",
      "tensor(0.0238)\n",
      "tensor(0.0214)\n",
      "tensor(0.0233)\n",
      "tensor(0.0233)\n",
      "tensor(0.0202)\n",
      "tensor(0.0186)\n",
      "tensor(0.0194)\n",
      "tensor(0.0211)\n",
      "tensor(0.0172)\n",
      "tensor(0.0209)\n",
      "tensor(0.0161)\n",
      "tensor(0.0177)\n",
      "tensor(0.0169)\n",
      "tensor(0.0156)\n",
      "tensor(0.0151)\n",
      "tensor(0.0156)\n",
      "tensor(0.0148)\n",
      "tensor(0.0139)\n",
      "tensor(0.0147)\n",
      "tensor(0.0130)\n",
      "tensor(0.0160)\n",
      "tensor(0.0134)\n",
      "tensor(0.0133)\n",
      "tensor(0.0129)\n",
      "tensor(0.0108)\n",
      "tensor(0.0118)\n",
      "tensor(0.0119)\n",
      "tensor(0.0128)\n",
      "tensor(0.0116)\n",
      "tensor(0.0124)\n",
      "tensor(0.0134)\n",
      "tensor(0.0121)\n",
      "tensor(0.0113)\n",
      "tensor(0.0099)\n",
      "tensor(0.0102)\n",
      "tensor(0.0110)\n",
      "tensor(0.0111)\n"
     ]
    }
   ],
   "source": [
    "epochs = 1\n",
    "for epoch in range(epochs):\n",
    "    i = 0\n",
    "    for xb, yb in trainloader:\n",
    "        y = fcnn(xb)\n",
    "        loss = loss_function(y, yb)\n",
    "        loss_list.append(loss.data)\n",
    "        loss.backward()\n",
    "        opt.step()\n",
    "        opt.zero_grad()\n",
    "        i += 1\n",
    "        if i%10 == 0:\n",
    "            print(loss.data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c280d2b",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "尽量使MAPE降到5%以下"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "758b7903",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### 预测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "2bb989fa",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "v_max = max(train['value'])\n",
    "v_min = min(train['value'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a74ffc8",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "预测测试集里的某一样本"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "a2f927c8",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "plt.rc('font',family='DengXian')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "449f8de0",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "def picture(data, index):\n",
    "    pred = fcnn(data[index][0])\n",
    "    true_label = data[index][1] * (v_max - v_min) + v_min\n",
    "    true_label = true_label.detach().numpy()\n",
    "    true_pred = pred * (v_max - v_min) + v_min\n",
    "    true_pred = true_pred.detach().numpy()\n",
    "    before_day = data[index-96][1] * (v_max - v_min) + v_min\n",
    "    before_day = before_day.detach().numpy()\n",
    "    \n",
    "    \n",
    "    \n",
    "    plt.figure(figsize=(15, 5), dpi=80)\n",
    "\n",
    "    X = np.linspace(0, 24, 96, endpoint=True)\n",
    "    C,S,D = true_pred, true_label, before_day\n",
    "    plt.plot(X, C, color='blue', label='预测')\n",
    "    plt.plot(X, S, color='green', label='真实')\n",
    "    plt.plot(X, D, color='yellow', label='前24小时')\n",
    "    plt.legend(loc='upper left')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "2ffacba4",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "picture(test_seq, 500)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "69c19f4c",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "预测训练集里的某一样本"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "030f460c",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "picture(train_seq, 66000)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "edfaaf15",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "加载训练好的模型参数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "b571fb39",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<All keys matched successfully>"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fcnn.load_state_dict(torch.load('./fcnn_5'))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5cadb1c",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "采用所有样本APE的平均值(mean absolute percentage error)MAPE对模型的预测准确度进行评价"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "abc38cbc",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "APE（绝对百分比误差）：|y预测 - y真实| ÷ y真实 × 100%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "116b8ba8",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "def APE_list(test_seq):  # 预测的每个24小时的平均APE组成的列表\n",
    "    list1 = []\n",
    "    for i in test_seq:\n",
    "        pred = fcnn(i[0])\n",
    "        true_label = i[1] * (v_max - v_min) + v_min\n",
    "        true_label = true_label.numpy()\n",
    "        true_pred = pred * (v_max - v_min) + v_min\n",
    "        true_pred = true_pred.detach().numpy()\n",
    "        num = sum(abs(true_pred - true_label) / true_label) / 96\n",
    "        list1.append(num)\n",
    "\n",
    "    return list1\n",
    "#max(list1), min(list1)，list1.index()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08886a88",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "在测试数据上的MAPE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "1499a336",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'10.530419045421855%'"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list1 = APE_list(test_seq)\n",
    "str(sum(list1) / len(list1) * 100) + '%'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "42ade150",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# 保存列表\n",
    "np.save('fcnn_mape', list1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "f4b5d16e",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# 6.603606413932181%    学习率0.01\n",
    "# 5.305290765717045%\n",
    "# 5.3464262697033975%\n",
    "# 5.14127627500452%\n",
    "# 5.7158051922799915%\n",
    "# 6.787916712337207%\n",
    "# 6.644239348950235%\n",
    "# 5.69550430048835%\n",
    "# 8.271368299091874%\n",
    "# 6.929466516301976%\n",
    "# 5.033682719629707%   学习率0.001\n",
    "# 5.111268064916269%\n",
    "# 4.66893587943667%\n",
    "# 5.607308426536673%\n",
    "# 4.736420186128316%\n",
    "# 3.671130233735497%\n",
    "# 4.529471358337761%\n",
    "# 4.194013957217647%\n",
    "# 3.4696171180810023%\n",
    "# 4.354834724221718%\n",
    "# 4.402668573521657%\n",
    "# 3.963668633496546%\n",
    "# 3.7688639320679154%\n",
    "# 4.6363068274787835%\n",
    "# 3.577304760008287%\n",
    "# 3.6069999537668047%\n",
    "# 3.4939624582452438%\n",
    "# 3.510677293122402%\n",
    "# 3.5191873838763934%\n",
    "# 3.371155724122247%   学习率0.0001    \n",
    "# 3.2396765017178573%   \n",
    "# 3.1312434051535534%   \n",
    "# 3.218598760194548%\n",
    "# 3.1202429503717695%\n",
    "# 3.1370015644698372%\n",
    "# 2.9958810460580594%   \n",
    "# 2.9824408010238823%\n",
    "# 3.1413491746402094%\n",
    "# 3.1052736001067767%\n",
    "# 3.016649604364203%\n",
    "# 3.158469020480509%\n",
    "# 3.189437748473799%\n",
    "# 3.033976786304351%\n",
    "# 2.971539336320524%\n",
    "# 2.9965918989233247%  学习率0.00001\n",
    "# 2.9667725922817083%\n",
    "# 2.972823514175659%\n",
    "# 2.9885393344417883%\n",
    "# 2.971978000134556%\n",
    "# 2.963206226104105%  fcnn_5\n",
    "# 2.9794356459394766%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "50ca1701",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "torch.save(fcnn.state_dict(), 'fcnn_5')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33bb9be0",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "测试数据的APE分布的箱线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "a14fdd8a",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data=list1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "ae44d3d2",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiYAAAGKCAYAAAA4+IpOAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjEsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvc2/+5QAAAAlwSFlzAAAPYQAAD2EBqD+naQAAHSlJREFUeJzt3W9slfX9//FXCz2nlXIO1dlKoRVJYFGx9I9roVTGmM4xFBtlhE7n3BEbLDe2mEwlOEg3pfHPEoQUSWfmFJ3QkTC/N2TMmMwqlBaBUbEVEhXo1n9U4JwOOKdCz/eGX86vhxbpBefH9bnOeT6Sxp7rfHqd94naPnudq9dJCofDYQEAABgg2e4BAAAAziNMAACAMQgTAABgDMIEAAAYgzABAADGIEwAAIAxCBMAAGAMwgQAABhjtN0DWDUwMKCOjg6NHTtWSUlJdo8DAABGIBwOq6+vT9nZ2UpOvvhxEceFSUdHh3JycuweAwAAXIb29nZNnDjxovc7LkzGjh0r6Zsn5vF4bJ4GAACMRCAQUE5OTuTn+MU4LkzOv3zj8XgIEwAAHOZSp2Fw8isAADAGYQIAAIxBmAAAAGMQJgAAwBiECQAAMAZhAgAAjEGYAAAAYxAmAADAGI67wBqA+HTu3Dm1tLTo+PHjuvbaa5WXl6dRo0bZPRaAq4wwAWC7hoYGrV+/Xl1dXZFtN9xwg6qqqjR79mwbJwNwtfFSDgBbNTQ0aNWqVZo8ebJqa2v17rvvqra2VpMnT9aqVavU0NBg94gAriLCBIBtzp07p/Xr12vmzJmqrq5Wf3+/Ghsb1d/fr+rqas2cOVOvvPKKzp07Z/eoAK4SXsoBYJuWlhZ1dXXp3nvv1c9//vMhL+Xcc8892rlzp1paWlRQUGDjpACuFsIEgG2OHz8uSfrjH/+o0tJS/fa3v9VNN92kL7/8Um+99ZZeffXVqHUA4h8v5QCwzbhx4yRJt912m5599lndeuutuuaaa3Trrbfq2Wef1W233Ra1DkD8I0wAAIAxCBMAtjl58qQk6cCBA3rmmWf06aef6vTp0/r000/1zDPP6MCBA1HrAMQ/y2Fy7NgxLViwQKWlpSouLta2bduGXRcMBuXz+TRjxowh9x0/flwPPPCASktLVVhYqHfffdf65AAc79prr5UkLVmyRF988YWWLVumn/zkJ1q2bJm+/PJLLVmyJGodgPhn+eTXqqoq+Xw+lZeX68SJE5ozZ46KioqUmZkZWdPV1aUHH3xQ8+fPV2tr65B9PPbYY/rZz36mBx54QF1dXSorK9Odd94pl8t1Zc8GgKPk5eXphhtu0KeffqqNGzfqwIEDkSu/Tps2TatWrdL48eOVl5dn96gArhJLR0z8fr/a2tpUXl4uScrIyFBFRYW2bNkSta67u1sbNmzQ/fffP2QfHR0dOnr0qB544AFJ3/xJ4L59+4gSIAGNGjVKVVVVamxs1KpVq+RyuTRz5ky5XC6tWrVKjY2Nevzxx7k0PZBALB0xaWlpGfKbS2FhoTZv3hy1bfr06ZKkw4cPD9lHY2OjysrKoraNHTv2oo8ZCoUUCoUitwOBgJWRARhu9uzZqq6u1vr167Vs2bLI9vHjx6u6uppL0gMJxlKYdHZ2KisrK2pbZmamOjs7R7yPI0eOKDMzU7/5zW+0e/dueb1evfTSS5oyZcqw62tqalRdXW1lTAAOM3v2bM2YMUPvvPOOOjo6lJ2drfvuu48jqUACshQmwWBwyDcKl8sVdUTjUk6dOqWNGzfq9ddf14svvqiPPvpI99xzjz755JNhvwktX75cTzzxROR2IBBQTk6OlbEBGK6hoUG1tbXq7u6ObNuyZYuWLVvGERMgwVg6xyQ1NXVIhIRCIaWlpY14HykpKZoxY4ZmzpwpSSorK9O0adPU2Ng47Hq32y2PxxP1ASB+NDQ0aOXKlVFRIn1zrtrKlSt5Ez8gwVg6YpKdnR31XhbSNyezTpgwYcT7yMrKGnJ56dzc3CH7BRD/zp07p+eff16S5PV6VVBQoLS0NJ05c0b79u2T3+/X888/r1mzZnECLJAgLIVJfn6+9u/fH7WtqalJJSUlI97H7bffPuSveP7zn/9YihsA8WHv3r06deqUUlJS1NfXp3/+85+R+5KTk5WSkqJTp05p7969+t73vmffoACuGksv5aSnp6uwsFD19fWSpJ6eHm3dulULFy4c8T5uu+02nTx5Uh999JEk6bPPPlNra+uwF2IDEN/+8Y9/SJK+/vprDQwMRN03MDCgr7/+OmodgPhn+QJr69atk8/n05o1axQOh1VbWyuPx6PVq1eroKBA8+bN09q1a1VfX69QKKSDBw+qrKxMEydO1KZNmyRJb775pnw+n06fPq1rrrlGb7/9tkaP5o2OgURz+vTpyOfjxo3TkiVLNHPmTDU2NurVV1+NXIp+8DoA8S0pHA6H7R7CikAgIK/XK7/fz4mwgMMtX75cjY2NSkpK0vbt26P+Mq+/v1933323wuGwZs6cqZqaGhsnBXClRvrzm8MUAGxz/oKJ4XBYK1euVElJidxut0KhkJqamnT+9yYurAgkDsIEgG2SkpIin+/atUu7du265DoA8c3yuwsDQKzMmjUrpusAOB9hAsA2598QNFbrADgfYQLANq2trTFdB8D5CBMAttm3b19M1wFwPsIEgG1G+lYUvGUFkDgIEwC2GfymoMnJ0d+OBt+28g7mAJyNMAFgm3/961+Rz4e7JP1w6wDEN8IEgG36+/tjug6A8xEmAGzjdrtjug6A8xEmAGyTm5sb03UAnI8wAWCbkb6HqMPeaxTAFSBMANhm8LsJx2IdAOcjTADYhiMmAC5EmACwzdmzZ2O6DoDzESYAbJOVlRXTdQCcjzABYJspU6bEdB0A5yNMANjG6/XGdB0A5yNMANimpaUlpusAOB9hAsA2DQ0NMV0HwPkIEwC2CQaDMV0HwPkIEwC2SUlJiek6AM5HmACwzYV/bVNUVKTHHntMRUVF37oOQPwabfcAABLXqFGjom7v2bNHe/bsueQ6APGLIyYAbHPy5MmYrgPgfIQJANukp6fHdB0A5yNMANimtLQ0pusAOB9hAsA2OTk5MV0HwPkIEwC22bhxY0zXAXA+wgSAbQKBQEzXAXA+wgSAbTIyMiKfZ2ZmRt03+PbgdQDiG2ECwDZutzvy+bFjx6LuG3x78DoA8Y0wAWCbU6dORT4Ph8NR9w2+PXgdgPhGmACwzfXXXx/TdQCcjzABYJvBfwaclJQUdd/g2/y5MJA4CBMAtvnqq68in3/bSzmD1wGIb4QJANucj48Lj5acd377hdECIH4RJgBsMzg8hnsp51LhAiD+ECYAbHPhtUuudB0A5yNMANjG4/FEPh89enTUfYNvD14HIL4RJgBs09fXF/n82/4qZ/A6APGNMAFgm+Tk//ctqL+/P+q+wbcHrwMQ3/i/HYBt8vPzY7oOgPMRJgBsc8stt8R0HQDnI0wA2OZvf/tbTNcBcD7CBIBtPvroo5iuA+B8hAkA2/T29sZ0HQDnI0wA2Gakl5rnkvRA4iBMANgmFArFdB0A5yNMANiGMAFwIcIEgG3Onj0b03UAnI8wAWAbwgTAhQgTAABgDMIEgG0ufOO+K10HwPkIEwC2SUlJiek6AM5HmACwDdcxAXAhwgSAbZKTR/YtaKTrADjfaLsHAOwWDAZ19OhRu8dISOPGjVN3d/eI1h06dOgqTIQL5ebmKjU11e4xkEAsh8mxY8f06KOPqre3V2fPnlV1dbXmzZs3ZF0wGFRVVZVaW1u1a9euYff13//+V5MnT9Ybb7yhH//4x9anB2Lg6NGjqqystHsMfIvu7m7+Hdmkrq5OU6dOtXsMJBDLYVJVVSWfz6fy8nKdOHFCc+bMUVFRkTIzMyNrurq69OCDD2r+/PlqbW296L5efvllDtHCdrm5uaqrq7N7jIR09uxZVVVVXXLd+vXrNXo0B3jtkJuba/cISDCW/k/3+/1qa2tTeXm5JCkjI0MVFRXasmVL1DeX7u5ubdiwQSkpKaqvrx92XydPntT777+vu++++/KnB2IgNTWV3whttHjxYm3atOlb77/llluu4kQA7GTpcEVLS4vy8vKithUWFmrPnj1R26ZPn64pU6Z8675efPFFPfHEE1yfAEhwS5cu1eLFi4d8L0hOTtbixYu1dOlSmyYDYAdLYdLZ2amsrKyobZmZmers7LT0oD09PWpqatI999xzybWhUEiBQCDqA0B8Wbp0qbZv365FixZJkhYtWqS///3vRAmQgCyFSTAYlMvlitrmcrksv/NnTU2NnnrqqRGv9Xq9kY+cnBxLjwXAGVwul+68805J0p133jnkew2AxGApTFJTU4dESCgUUlpa2oj38e9//1utra266667RrR++fLl8vv9kY/29nYrIwMAAAexdPJrdna2urq6orZ1dHRowoQJI97H73//e61YsWLE691ut9xu94jXAwAA57IUJvn5+dq/f3/UtqamJpWUlIx4H7t379bBgwcjtz/77DPt3btXBw8e1K9+9Ssr4wAAgDhjKUzS09NVWFio+vp6LVq0SD09Pdq6dat27Ngx4n3s3bs36vYjjzyixYsXc4E1AABg/b1y1q1bp7/85S8qLS3Vfffdp9raWnk8Hq1evVrbtm2TJK1du1ZlZWX66U9/qtbWVpWVlWnx4sUxHx4AAMSXpLDD3rYzEAjI6/XK7/fL4/HYPQ6AGDp06JAqKyu5DDoQh0b685vrwQMAAGMQJgAAwBiECQAAMAZhAgAAjEGYAAAAYxAmAADAGIQJAAAwBmECAACMQZgAAABjECYAAMAYhAkAADAGYQIAAIxBmAAAAGMQJgAAwBiECQAAMAZhAgAAjEGYAAAAYxAmAADAGIQJAAAwBmECAACMQZgAAABjECYAAMAYhAkAADAGYQIAAIxBmAAAAGMQJgAAwBiECQAAMAZhAgAAjEGYAAAAYxAmAADAGIQJAAAwBmECAACMQZgAAABjECYAAMAYhAkAADAGYQIAAIxBmAAAAGMQJgAAwBiECQAAMAZhAgAAjEGYAAAAYxAmAADAGIQJAAAwBmECAACMQZgAAABjECYAAMAYhAkAADAGYQIAAIxBmAAAAGMQJgAAwBiECQAAMAZhAgAAjEGYAAAAYxAmAADAGIQJAAAwBmECAACMQZgAAABjECYAAMAYhAkAADAGYQIAAIxhOUyOHTumBQsWqLS0VMXFxdq2bduw64LBoHw+n2bMmDHkvg8++EB33HGHysrKNHfuXB04cMD65AAAIO6MtvoFVVVV8vl8Ki8v14kTJzRnzhwVFRUpMzMzsqarq0sPPvig5s+fr9bW1qiv7+3t1eOPP673339f48ePV3NzsyoqKvTJJ59c+bMBAACOZumIid/vV1tbm8rLyyVJGRkZqqio0JYtW6LWdXd3a8OGDbr//vuH7OPzzz9XZWWlxo8fL0kqLi5WSkqKurq6LvMpAACAeGHpiElLS4vy8vKithUWFmrz5s1R26ZPny5JOnz48JB9lJSUqKSkJGpbMBjUmDFjhn3MUCikUCgUuR0IBKyMDAAAHMTSEZPOzk5lZWVFbcvMzFRnZ+dlD9Dc3KzrrrtOY8eOHfb+mpoaeb3eyEdOTs5lPxYAADCbpTAJBoNyuVxR21wuV9QRDStOnDihRx99VH/4wx8uumb58uXy+/2Rj/b29st6LAAAYD5LL+WkpqYOiZBQKKS0tDTLD3z69Gnde++9euqpp1RcXHzRdW63W2632/L+AQCA81g6YpKdnT3kJNWOjg5NmDDB0oOeO3dOCxcuVEVFhR566CFLXwsAAOKXpTDJz8/X/v37o7Y1NTUNOZn1Un73u9/p5ptv1rJlyyx9HQAAiG+WXspJT09XYWGh6uvrtWjRIvX09Gjr1q3asWPHiPdx+PBhvfPOO2pubrY8LAAAiG+WL7C2bt06+Xw+rVmzRuFwWLW1tfJ4PFq9erUKCgo0b948rV27VvX19QqFQjp48KDKyso0ceJEbdq0SZs3b1Zvb6/mzp0btd8XXnhBpaWlMXtiAADAeZLC4XDY7iGsCAQC8nq98vv98ng8do8DIIYOHTqkyspK1dXVaerUqXaPAyCGRvrzmzfxAwAAxiBMAACAMQgTAABgDMIEAAAYgzABAADGIEwAAIAxCBMAAGAMwgQAABiDMAEAAMYgTAAAgDEIEwAAYAzCBAAAGIMwAQAAxiBMAACAMQgTAABgjNF2D5Couru75ff77R4DMMqRI0ei/gngG16vV1lZWXaPcVUkhcPhsN1DWBEIBOT1euX3++XxeOwe57J0d3froZ8/rK/7Q3aPAgBwgBSXW29ufMPRcTLSn98cMbGB3+/X1/0hnZn8fQ2keu0eBwBgsOSgX/riA/n9fkeHyUgRJjYaSPVqYMx37B4DAABjcPIrAAAwBmECAACMQZgAAABjECYAAMAYhAkAADAGYQIAAIxBmAAAAGMQJgAAwBiECQAAMAZhAgAAjEGYAAAAYxAmAADAGIQJAAAwBmECAACMQZgAAABjECYAAMAYhAkAADAGYQIAAIxBmAAAAGMQJgAAwBiECQAAMAZhAgAAjEGYAAAAYxAmAADAGIQJAAAwBmECAACMQZgAAABjECYAAMAYhAkAADAGYQIAAIxBmAAAAGMQJgAAwBiECQAAMMZouwdIZMlnTto9AgDAcIn2s4IwsVHalw12jwAAgFEIExuduWm2BtLG2T0GAMBgyWdOJtQvsoSJjQbSxmlgzHfsHgMAAGNw8isAADAGYQIAAIxBmAAAAGNYDpNjx45pwYIFKi0tVXFxsbZt2zbsumAwKJ/PpxkzZgy57+OPP9asWbM0a9Ys/eAHP9Dnn39ufXIAABB3LIdJVVWVfD6fdu7cqe3bt+vpp59WT09P1Jquri7Nnz9f06ZNG/L1/f39euSRR/TWW29px44deumll/Twww9f/jMAAABxw1KY+P1+tbW1qby8XJKUkZGhiooKbdmyJWpdd3e3NmzYoPvvv3/IPt577z2VlZVp0qRJkqSioiKNHTtWra2tl/cMAABA3LAUJi0tLcrLy4vaVlhYqD179kRtmz59uqZMmTLsPvbu3avCwsJL7gMAACQeS9cx6ezsVFZWVtS2zMxMdXZ2WtrHhXHzbfsIhUIKhUKR24FAwMLEAADASSwdMQkGg3K5XFHbXC5XVDjEeh81NTXyer2Rj5ycHCsjAwAAB7EUJqmpqUMCIhQKKS0t7f/bPpYvXy6/3x/5aG9vtzIyAABwEEsv5WRnZ6urqytqW0dHhyZMmHDF+7jwvJPz3G633G63lTEBAIBDWTpikp+fr/3790dta2pqUklJyYj3cfvtt+vjjz++on0AAID4ZClM0tPTVVhYqPr6eklST0+Ptm7dqoULF454Hz/84Q/V3NwcuahaQ0ODUlNTNXnyZCujAACAOGT53YXXrVsnn8+nNWvWKBwOq7a2Vh6PR6tXr1ZBQYHmzZuntWvXqr6+XqFQSAcPHlRZWZkmTpyoTZs2KSUlRa+//nrkomrp6el67bXXYv7EAACA8ySFw+Gw3UNYEQgE5PV65ff75fF47B7nshw6dEiVlZU6dcsCDYz5jt3jAAAMlnyqV2Na/0d1dXWaOnWq3eNctpH+/OZN/AAAgDEIEwAAYAzCBAAAGIMwAQAAxiBMAACAMQgTAABgDMIEAAAYgzABAADGIEwAAIAxCBMAAGAMwgQAABjD8pv4IXaSg367RwAAGC7RflYQJjbwer1KcbmlLz6wexQAgAOkuNzyer12j3FVECY2yMrK0psb35Dfn1gVDFzKkSNH9Nxzz2nFihW68cYb7R4HMIbX61VWVpbdY1wVhIlNsrKyEuY/MsCqG2+80dFv7w7g8nHyKwAAMAZhAgAAjEGYAAAAYxAmAADAGIQJAAAwBmECAACMQZgAAABjECYAAMAYhAkAADAGYQIAAIxBmAAAAGMQJgAAwBiECQAAMAZhAgAAjEGYAAAAYxAmAADAGIQJAAAwBmECAACMQZgAAABjECYAAMAYhAkAADAGYQIAAIxBmAAAAGMQJgAAwBiECQAAMAZhAgAAjEGYAAAAYxAmAADAGIQJAAAwBmECAACMQZgAAABjECYAAMAYhAkAADAGYQIAAIxBmAAAAGMQJgAAwBiECQAAMAZhAgAAjEGYAAAAYxAmAADAGIQJAAAwBmECAACMQZgAAABjECYAAMAYlsPk2LFjWrBggUpLS1VcXKxt27YNu+7555/X7bffruLiYv3617/WwMBA5L6mpibNmTNHd9xxh+bOnas9e/Zc/jMAAABxw3KYVFVVyefzaefOndq+fbuefvpp9fT0RK1599131dTUpObmZjU3Nys5OVkbNmyQJJ06dUq//OUv9dZbb+nDDz/Un/70Jz388MMKhUKxeUYAAMCxLIWJ3+9XW1ubysvLJUkZGRmqqKjQli1bota99tprevLJJ5Wc/M3un3zySf35z3+WJLW0tOjmm2/WhAkTJEmTJk3SpEmT1NbWdoVPBQAAOJ2lMGlpaVFeXl7UtsLCwiEvxezbt08FBQWR2zfccIO6u7s1MDCg1NRUBYPBqPXBYFBut9vq7AAAIM5YCpPOzk5lZWVFbcvMzFRnZ2fUttOnTw8JjYyMDPX29io/P19fffWVdu/eLUnatWuXQqGQbr755mEfMxQKKRAIRH0AAID4NNrK4mAwKJfLFbXN5XINOT8kHA4P+drz65KSkvTKK6/oRz/6ka6//nr19vbqvffeu+hj1tTUqLq62sqYAADAoSwdMUlNTR0SIaFQSGlpaVHbkpKShnzt+XU9PT1aunSpdu/erdbWVn344Yf6xS9+ob6+vmEfc/ny5fL7/ZGP9vZ2KyMDAAAHsRQm2dnZ6urqitrW0dEROZH1vDFjxujMmTNR244fP67rrrtOf/3rX3Xfffdp0qRJkqTvfve7+v73v6/t27cP+5hut1sejyfqAwAAxCdLYZKfn6/9+/dHbWtqalJJSUnUtqKioqgTYr/44gvddNNNSkpK0rlz54bsNxwOD/vyDwAASCyWwiQ9PV2FhYWqr6+XJPX09Gjr1q1auHBh1LpHH31UL7zwQiRCVq9ercrKSknS3Llz9fbbb+vEiROSvrlg2/bt2zVr1qwrfjIAAMDZLJ38Kknr1q2Tz+fTmjVrFA6HVVtbK4/Ho9WrV6ugoEDz5s3TXXfdpZaWFhUXFys5OVl33323HnroIUnStGnTtGLFCs2bN0+jR3/z8C+//LKys7Nj+8wAAIDjJIUd9hpKIBCQ1+uV3+/nfBMgzhw6dEiVlZWqq6vT1KlT7R4HQAyN9Oc3b+IHAACMQZgAAABjECYAAMAYhAkAADAGYQIAAIxBmAAAAGMQJgAAwBiECQAAMAZhAgAAjEGYAAAAYxAmAADAGIQJAAAwBmECAACMQZgAAABjECYAAMAYhAkAADAGYQIAAIxBmAAAAGMQJgAAwBiECQAAMAZhAgAAjEGYAAAAYxAmAADAGIQJAAAwBmECAACMQZgAAABjECYAAMAYhAkAADAGYQIAAIxBmAAAAGMQJgAAwBiECQAAMAZhAgAAjEGYAAAAY4y2ewDAbsFgUEePHrV7DEg6cuRI1D9hv9zcXKWmpto9BhIIYYKEd/ToUVVWVto9BgZ57rnn7B4B/6eurk5Tp061ewwkEMIECS83N1d1dXV2jwEYKTc31+4RkGAIEyS81NRUfiMEAENw8isAADAGYQIAAIxBmAAAAGMQJgAAwBiECQAAMAZhAgAAjEGYAAAAYxAmAADAGIQJAAAwBmECAACMQZgAAABjECYAAMAYhAkAADCG495dOBwOS5ICgYDNkwAAgJE6/3P7/M/xi3FcmPT19UmScnJybJ4EAABY1dfXJ6/Xe9H7k8KXShfDDAwMqKOjQ2PHjlVSUpLd4wCIoUAgoJycHLW3t8vj8dg9DoAYCofD6uvrU3Z2tpKTL34miePCBED8CgQC8nq98vv9hAmQoDj5FQAAGIMwAQAAxiBMABjD7XZr1apVcrvddo8CwCacYwIAAIzBERMAAGAMwgQAABiDMAEAAMYgTAAAgDEIEwAAYAzCBAAAGIMwAQAAxiBMAACAMf4XBBDDRRiH7DQAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# sns.boxplot(data=list1)\n",
    "# plt.ylim(0, 0.06)\n",
    "sns.boxplot(data=list1)  # 或按上面的正确格式传参\n",
    "plt.show()  # 看默认坐标轴下是否有内容"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "38e8aa28",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.06812059021467576"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min(list1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "0eff4088",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.1622489353370232"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max(list1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e33c0764",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "测试数据的APE分布的折线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "1388c419",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(30, 10), dpi=80)\n",
    "\n",
    "X = np.linspace(1, 2785, len(list1), endpoint=True)\n",
    "plt.plot(X, list1, color='green')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79e9b80f",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "2023年12月30日的预测误差较大，观察12月30日的数据发现，这天为周五，气象数据未发现异常，且不是节假日，12月31日才是元旦假期，但负荷相较前一天出现了明显的下降，推测这是\n",
    "导致误差较大的原因。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb7f761d",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "除去误差较大的预测结果后"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "4222437e",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "list2 = list1[:2600]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "06f4e59d",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'10.378969791333367%'"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "str(sum(list2) / len(list2) * 100) + '%'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "dc5cb902",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data=list2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "edbc0629",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.0, 0.06)"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data=list2)\n",
    "plt.ylim(0, 0.06)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "ad998df8",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "plt.figure(figsize=(30, 10), dpi=80)\n",
    "\n",
    "X = np.linspace(0, 1, len(list2), endpoint=True)\n",
    "plt.plot(X, list2, color='green')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8684cf3a",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "训练过程中在训练集上损失(MSE)的折线图（以小批量为单位）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "bd411d0b",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(tensor(0.3420), tensor(0.0091), tensor(0.3420))"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max(loss_list), min(loss_list), loss_list[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "85dd5f08",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(loss_list)/521"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "8b4bc92d",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(30, 10), dpi=80)\n",
    "\n",
    "X = np.linspace(1, 51, len(loss_list), endpoint=True)\n",
    "plt.plot(X, loss_list, color='green')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "c3d5dbab",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(30, 10), dpi=80)\n",
    "\n",
    "X = np.linspace(1, 51, len(loss_list), endpoint=True)\n",
    "plt.plot(X, loss_list, color='green')\n",
    "plt.ylim(0, 0.3500)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "18db66f2",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(30, 10), dpi=80)\n",
    "\n",
    "X = np.linspace(1, 51, len(loss_list), endpoint=True)\n",
    "plt.plot(X, loss_list, color='green')\n",
    "plt.ylim(0, 0.0400)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "28c35c3b",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(30, 10), dpi=80)\n",
    "\n",
    "X = np.linspace(1, 51, len(loss_list), endpoint=True)\n",
    "plt.plot(X, loss_list, color='green')\n",
    "plt.ylim(0, 0.0100)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0bdf6aa",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "source": [
    " 考虑之后用前一个星期的数据，因为负荷在一天内和一周内变化情况有较明显的规律"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cf80f60f",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "source": [
    " 考虑将要预测的第一个时刻的特征和预测时刻前24小时的那个时刻的负荷组成一个序列，预测的第二个时刻的特征和预测时刻前24小时的那个时刻的负荷组成\n",
    " 一个序列......，最终一个样本有96个序列，分别对应要预测的96个时刻。就像实训2-9那样。\n",
    " 考虑新增一个特征：是否为休息日（或工作日），并将节假日的调休去掉。"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "pytorch",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
